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Found 3 papers, 2 papers with code
Improving Sequential Recommendations with LLMs
We conduct extensive experiments on three datasets and explore a large variety of configurations, including different language models and baseline recommendation models, to obtain a comprehensive picture of the performance of each approach.
Leveraging Large Language Models for Sequential Recommendation
Sequential recommendation problems have received increasing attention in research during the past few years, leading to the inception of a large variety of algorithmic approaches.
A Survey on the Evolution of Stream Processing Systems
Stream processing has been an active research field for more than 20 years, but it is now witnessing its prime time due to recent successful efforts by the research community and numerous worldwide open-source communities.
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